Supplemental Materials

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Summary

Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; "Helpful Suggestions" about procedures and pitfalls; "Knowledge Boxes" delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website provides downloadable sample data sets that are used in the book to demonstrate particular analytic strategies, and explains how researchers and students can execute analyses using Jose's online programs, MedGraph and ModGraph. Appendices present SPSS, AMOS, and Mplus syntax for conducting the key types of analyses.

Author Biography

Paul E. Jose, PhD, is Associate Professor of Psychology and Director of the Roy McKenzie Centre for the Study of Families at Victoria University of Wellington in New Zealand. He received his doctorate in Developmental Psychology from Yale University, completed a postdoc at the University of Illinois at Champaign-Urbana, and taught and conducted research at Loyola University Chicago for 15 years. Dr. Jose's research interests include gender differences in spoken discourse, moral development, cross-cultural comparisons of adolescent coping and family dynamics, children's preparation and motivation for academic achievement, adolescent anxiety and depression, and positive psychology. He has used mediation and moderation for over 20 years in his work.